{
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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![image.png](attachment:image.png)\n",
    "\n",
    "——参考自《利用python进行数据分析》书中案例"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "#import相关的库\n",
    "%matplotlib inline\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 1. 数据载入和总览\n",
    "\n",
    "## 1.1 数据载入(pd.read_csv())\n",
    "\n",
    "由于单个数据源过大，不方便一次上传到平台，因此我把数据源按照0-50w行，50-100w行，100w+切分成3份（data_01.csv/data_02.csv/data_03.csv），并截取了所需的字段\n",
    "\n",
    "> pandas.read_csv(filepath, sep=', ' ,header='infer', names=None)\n",
    "> \n",
    "> filepath:文本文件路径；sep:分隔符；header默认使用第一行作为列名，如果header=None则pandas为其分配默认的列名；也可使用names传入列表指定列名"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/louis/anaconda3/lib/python3.7/site-packages/IPython/core/interactiveshell.py:2785: DtypeWarning: Columns (6) have mixed types. Specify dtype option on import or set low_memory=False.\n",
      "  interactivity=interactivity, compiler=compiler, result=result)\n"
     ]
    }
   ],
   "source": [
    "#数据读入使用pd.read_csv()\n",
    "data = pd.read_csv('P00000001-ALL.csv')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 1.2 数据合并(pd.concat())¶\n",
    "\n",
    "pandas.concat可以沿着一条轴将多个对象堆叠到一起，这里我们要把data_01.csv/data_02.csv/data_03.csv三份数据集合并为一份数据进行后续分析处理\n",
    "\n",
    "> pd.concat(objs, axis=0, join='outer')\n",
    "> \n",
    "> 合并多个对象时需要放到一个列表中；axis=0默认按照0轴堆叠，axis=1指合并列；concat函数可按照其他轴的逻辑关系进行合并，默认join='outer'，还有一个可取的值是'inner'\n",
    "\n",
    "各字段含义\n",
    "\n",
    "- cand_nm – 接受捐赠的候选人姓名\n",
    "- contbr_nm – 捐赠人姓名\n",
    "- contbr_st – 捐赠人所在州\n",
    "- contbr_employer – 捐赠人所在公司\n",
    "- contbr_occupation – 捐赠人职业\n",
    "- contb_receipt_amt – 捐赠数额（美元）\n",
    "- contb_receipt_dt – 收到捐款的日期\n",
    "\n",
    "## 1.3 数据预览和基本统计分析¶\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>cmte_id</th>\n",
       "      <th>cand_id</th>\n",
       "      <th>cand_nm</th>\n",
       "      <th>contbr_nm</th>\n",
       "      <th>contbr_city</th>\n",
       "      <th>contbr_st</th>\n",
       "      <th>contbr_zip</th>\n",
       "      <th>contbr_employer</th>\n",
       "      <th>contbr_occupation</th>\n",
       "      <th>contb_receipt_amt</th>\n",
       "      <th>contb_receipt_dt</th>\n",
       "      <th>receipt_desc</th>\n",
       "      <th>memo_cd</th>\n",
       "      <th>memo_text</th>\n",
       "      <th>form_tp</th>\n",
       "      <th>file_num</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>C00410118</td>\n",
       "      <td>P20002978</td>\n",
       "      <td>Bachmann, Michelle</td>\n",
       "      <td>HARVEY, WILLIAM</td>\n",
       "      <td>MOBILE</td>\n",
       "      <td>AL</td>\n",
       "      <td>3.6601e+08</td>\n",
       "      <td>RETIRED</td>\n",
       "      <td>RETIRED</td>\n",
       "      <td>250.0</td>\n",
       "      <td>20-JUN-11</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>SA17A</td>\n",
       "      <td>736166</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>C00410118</td>\n",
       "      <td>P20002978</td>\n",
       "      <td>Bachmann, Michelle</td>\n",
       "      <td>HARVEY, WILLIAM</td>\n",
       "      <td>MOBILE</td>\n",
       "      <td>AL</td>\n",
       "      <td>3.6601e+08</td>\n",
       "      <td>RETIRED</td>\n",
       "      <td>RETIRED</td>\n",
       "      <td>50.0</td>\n",
       "      <td>23-JUN-11</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>SA17A</td>\n",
       "      <td>736166</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>C00410118</td>\n",
       "      <td>P20002978</td>\n",
       "      <td>Bachmann, Michelle</td>\n",
       "      <td>SMITH, LANIER</td>\n",
       "      <td>LANETT</td>\n",
       "      <td>AL</td>\n",
       "      <td>3.68633e+08</td>\n",
       "      <td>INFORMATION REQUESTED</td>\n",
       "      <td>INFORMATION REQUESTED</td>\n",
       "      <td>250.0</td>\n",
       "      <td>05-JUL-11</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>SA17A</td>\n",
       "      <td>749073</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>C00410118</td>\n",
       "      <td>P20002978</td>\n",
       "      <td>Bachmann, Michelle</td>\n",
       "      <td>BLEVINS, DARONDA</td>\n",
       "      <td>PIGGOTT</td>\n",
       "      <td>AR</td>\n",
       "      <td>7.24548e+08</td>\n",
       "      <td>NONE</td>\n",
       "      <td>RETIRED</td>\n",
       "      <td>250.0</td>\n",
       "      <td>01-AUG-11</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>SA17A</td>\n",
       "      <td>749073</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>C00410118</td>\n",
       "      <td>P20002978</td>\n",
       "      <td>Bachmann, Michelle</td>\n",
       "      <td>WARDENBURG, HAROLD</td>\n",
       "      <td>HOT SPRINGS NATION</td>\n",
       "      <td>AR</td>\n",
       "      <td>7.19016e+08</td>\n",
       "      <td>NONE</td>\n",
       "      <td>RETIRED</td>\n",
       "      <td>300.0</td>\n",
       "      <td>20-JUN-11</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>SA17A</td>\n",
       "      <td>736166</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     cmte_id    cand_id             cand_nm           contbr_nm  \\\n",
       "0  C00410118  P20002978  Bachmann, Michelle     HARVEY, WILLIAM   \n",
       "1  C00410118  P20002978  Bachmann, Michelle     HARVEY, WILLIAM   \n",
       "2  C00410118  P20002978  Bachmann, Michelle       SMITH, LANIER   \n",
       "3  C00410118  P20002978  Bachmann, Michelle    BLEVINS, DARONDA   \n",
       "4  C00410118  P20002978  Bachmann, Michelle  WARDENBURG, HAROLD   \n",
       "\n",
       "          contbr_city contbr_st   contbr_zip        contbr_employer  \\\n",
       "0              MOBILE        AL   3.6601e+08                RETIRED   \n",
       "1              MOBILE        AL   3.6601e+08                RETIRED   \n",
       "2              LANETT        AL  3.68633e+08  INFORMATION REQUESTED   \n",
       "3             PIGGOTT        AR  7.24548e+08                   NONE   \n",
       "4  HOT SPRINGS NATION        AR  7.19016e+08                   NONE   \n",
       "\n",
       "       contbr_occupation  contb_receipt_amt contb_receipt_dt receipt_desc  \\\n",
       "0                RETIRED              250.0        20-JUN-11          NaN   \n",
       "1                RETIRED               50.0        23-JUN-11          NaN   \n",
       "2  INFORMATION REQUESTED              250.0        05-JUL-11          NaN   \n",
       "3                RETIRED              250.0        01-AUG-11          NaN   \n",
       "4                RETIRED              300.0        20-JUN-11          NaN   \n",
       "\n",
       "  memo_cd memo_text form_tp  file_num  \n",
       "0     NaN       NaN   SA17A    736166  \n",
       "1     NaN       NaN   SA17A    736166  \n",
       "2     NaN       NaN   SA17A    749073  \n",
       "3     NaN       NaN   SA17A    749073  \n",
       "4     NaN       NaN   SA17A    736166  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#查看前5行数据\n",
    "data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>contb_receipt_amt</th>\n",
       "      <th>file_num</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>1.001731e+06</td>\n",
       "      <td>1.001731e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>2.982352e+02</td>\n",
       "      <td>7.744948e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>3.749667e+03</td>\n",
       "      <td>1.059822e+04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>-3.080000e+04</td>\n",
       "      <td>7.235110e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>3.500000e+01</td>\n",
       "      <td>7.719270e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>1.000000e+02</td>\n",
       "      <td>7.792250e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>2.500000e+02</td>\n",
       "      <td>7.802340e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>2.014491e+06</td>\n",
       "      <td>7.878030e+05</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       contb_receipt_amt      file_num\n",
       "count       1.001731e+06  1.001731e+06\n",
       "mean        2.982352e+02  7.744948e+05\n",
       "std         3.749667e+03  1.059822e+04\n",
       "min        -3.080000e+04  7.235110e+05\n",
       "25%         3.500000e+01  7.719270e+05\n",
       "50%         1.000000e+02  7.792250e+05\n",
       "75%         2.500000e+02  7.802340e+05\n",
       "max         2.014491e+06  7.878030e+05"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#用统计学指标快速描述数据的概要\n",
    "data.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 2. 数据清洗\n",
    "\n",
    "## 2.1 缺失值处理"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "#从data.info()得知，contbr_employer、contbr_occupation均有少量缺失值,均填充为NOT PROVIDED\n",
    "data['contbr_employer'].fillna('NOT PROVIDED',inplace=True)\n",
    "data['contbr_occupation'].fillna('NOT PROVIDED',inplace=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2.2 数据转换\n",
    "\n",
    "### 利用字典映射进行转换：党派分析\n",
    "\n",
    "美国大选一般是民主党和共和党之争，虽然数据中没有党派这个字段，但是通过候选人名称即cand_nm，可以得到对应的党派信息"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "共有13位候选人，分别是\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "array(['Bachmann, Michelle', 'Romney, Mitt', 'Obama, Barack',\n",
       "       \"Roemer, Charles E. 'Buddy' III\", 'Pawlenty, Timothy',\n",
       "       'Johnson, Gary Earl', 'Paul, Ron', 'Santorum, Rick',\n",
       "       'Cain, Herman', 'Gingrich, Newt', 'McCotter, Thaddeus G',\n",
       "       'Huntsman, Jon', 'Perry, Rick'], dtype=object)"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#查看数据中总统候选人都有谁\n",
    "print('共有{}位候选人，分别是'.format(len(data['cand_nm'].unique())))\n",
    "data['cand_nm'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "#通过搜索引擎等途径，获取到每个总统候选人的所属党派，建立字典parties，候选人名字作为键，所属党派作为对应的值\n",
    "parties = {'Bachmann, Michelle': 'Republican',\n",
    "           'Cain, Herman': 'Republican',\n",
    "           'Gingrich, Newt': 'Republican',\n",
    "           'Huntsman, Jon': 'Republican',\n",
    "           'Johnson, Gary Earl': 'Republican',\n",
    "           'McCotter, Thaddeus G': 'Republican',\n",
    "           'Obama, Barack': 'Democrat',\n",
    "           'Paul, Ron': 'Republican',\n",
    "           'Pawlenty, Timothy': 'Republican',\n",
    "           'Perry, Rick': 'Republican',\n",
    "           \"Roemer, Charles E. 'Buddy' III\": 'Republican',\n",
    "           'Romney, Mitt': 'Republican',\n",
    "           'Santorum, Rick': 'Republican'}"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "增加一列party存储党派信息"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Democrat      593746\n",
       "Republican    407985\n",
       "Name: party, dtype: int64"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#通过map映射函数，增加一列party存储党派信息\n",
    "data['party']=data['cand_nm'].map(parties)\n",
    "#查看两个党派的情况\n",
    "data['party'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Democrat $: 133502591.45\n",
      "Republican $: 165248803.69000003\n"
     ]
    }
   ],
   "source": [
    "print('Democrat $:', data[data['party'] == 'Democrat']['contb_receipt_amt'].sum())\n",
    "print('Republican $:', data[data['party'] == 'Republican']['contb_receipt_amt'].sum())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "可以看出Republican（共和党）接受的赞助总金额更高，Democrat（民主党）获得的赞助次数更多一些\n",
    "\n",
    "### 排序：按照职业汇总对赞助总金额进行排序\n",
    "\n",
    "按照职位进行汇总，计算赞助总金额，展示前20项，发现不少职业是相同的，只不过是表达不一样而已，如C.E.O.与CEO，都是一个职业\n",
    "\n",
    "> DataFrame.sort_values(by, ascending=True, inplace=False)\n",
    "> \n",
    "> by是根据哪一列进行排序，可以传入多列；ascending=True是升序排序，False为降序；inplace=Ture则是修改原dataframe，默认为False\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "contbr_occupation\n",
       "RETIRED                                   48176447.00\n",
       "ATTORNEY                                  18470473.30\n",
       "HOMEMAKER                                 17484807.65\n",
       "INFORMATION REQUESTED PER BEST EFFORTS    15859514.55\n",
       "INFORMATION REQUESTED                      8742357.59\n",
       "PHYSICIAN                                  7224044.40\n",
       "PRESIDENT                                  6347843.59\n",
       "EXECUTIVE                                  5273717.90\n",
       "CONSULTANT                                 4932627.98\n",
       "NOT PROVIDED                               4224760.39\n",
       "CEO                                        3570942.20\n",
       "LAWYER                                     3537982.19\n",
       "OWNER                                      3278488.16\n",
       "INVESTOR                                   3204481.92\n",
       "ENGINEER                                   2730527.43\n",
       "PROFESSOR                                  2458033.81\n",
       "C.E.O.                                     2433218.11\n",
       "SELF-EMPLOYED                              2259150.94\n",
       "MANAGER                                    2167571.47\n",
       "REAL ESTATE                                2110499.34\n",
       "Name: contb_receipt_amt, dtype: float64"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.groupby('contbr_occupation')['contb_receipt_amt'].sum().sort_values(ascending=False)[:20]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/louis/anaconda3/lib/python3.7/site-packages/ipykernel_launcher.py:1: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "  \"\"\"Entry point for launching an IPython kernel.\n"
     ]
    }
   ],
   "source": [
    "data.contbr_occupation[data['contbr_occupation'] == 'C.E.O.'] = 'CEO'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "contbr_occupation\n",
       "RETIRED                                   48176447.00\n",
       "ATTORNEY                                  18470473.30\n",
       "HOMEMAKER                                 17484807.65\n",
       "INFORMATION REQUESTED PER BEST EFFORTS    15859514.55\n",
       "INFORMATION REQUESTED                      8742357.59\n",
       "PHYSICIAN                                  7224044.40\n",
       "PRESIDENT                                  6347843.59\n",
       "CEO                                        6004160.31\n",
       "EXECUTIVE                                  5273717.90\n",
       "CONSULTANT                                 4932627.98\n",
       "NOT PROVIDED                               4224760.39\n",
       "LAWYER                                     3537982.19\n",
       "OWNER                                      3278488.16\n",
       "INVESTOR                                   3204481.92\n",
       "ENGINEER                                   2730527.43\n",
       "PROFESSOR                                  2458033.81\n",
       "SELF-EMPLOYED                              2259150.94\n",
       "MANAGER                                    2167571.47\n",
       "REAL ESTATE                                2110499.34\n",
       "SALES                                      1814901.82\n",
       "Name: contb_receipt_amt, dtype: float64"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.groupby('contbr_occupation')['contb_receipt_amt'].sum().sort_values(ascending=False)[:20]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 利用函数进行数据转换：职业与雇主信息分析\n",
    "\n",
    "许多职业都涉及相同的基本工作类型，下面我们来清理一下这样的数据（这里巧妙地利用了dict.get它允许没有映射关系的职业也能“通过”）"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "#建立一个职业对应字典，把相同职业的不同表达映射为对应的职业，比如把C.E.O.映射为CEO\n",
    "occupation_map = {\n",
    "  'INFORMATION REQUESTED PER BEST EFFORTS':'NOT PROVIDED',\n",
    "  'INFORMATION REQUESTED':'NOT PROVIDED',\n",
    "  'SELF' : 'SELF-EMPLOYED',\n",
    "  'SELF EMPLOYED' : 'SELF-EMPLOYED',\n",
    "  'C.E.O.':'CEO',\n",
    "  'LAWYER':'ATTORNEY',\n",
    "}\n",
    "\n",
    "# 如果不在字典中,返回x\n",
    "f = lambda x: occupation_map.get(x, x)\n",
    "data.contbr_occupation = data.contbr_occupation.map(f)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "同样地，对雇主信息进行类似转换"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "emp_mapping = {\n",
    "   'INFORMATION REQUESTED PER BEST EFFORTS' : 'NOT PROVIDED',\n",
    "   'INFORMATION REQUESTED' : 'NOT PROVIDED',\n",
    "   'SELF' : 'SELF-EMPLOYED',\n",
    "   'SELF EMPLOYED' : 'SELF-EMPLOYED',\n",
    "}\n",
    "\n",
    "# If no mapping provided, return x\n",
    "f = lambda x: emp_mapping.get(x, x)\n",
    "data.contbr_employer = data.contbr_employer.map(f)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "contbr_occupation\n",
       "RETIRED           48176447.00\n",
       "NOT PROVIDED      28826632.53\n",
       "ATTORNEY          22008455.49\n",
       "HOMEMAKER         17484807.65\n",
       "PHYSICIAN          7224044.40\n",
       "PRESIDENT          6347843.59\n",
       "CEO                6004160.31\n",
       "EXECUTIVE          5273717.90\n",
       "CONSULTANT         4932627.98\n",
       "OWNER              3278488.16\n",
       "INVESTOR           3204481.92\n",
       "SELF-EMPLOYED      2929716.04\n",
       "ENGINEER           2730527.43\n",
       "PROFESSOR          2458033.81\n",
       "MANAGER            2167571.47\n",
       "REAL ESTATE        2110499.34\n",
       "SALES              1814901.82\n",
       "NOT EMPLOYED       1752927.93\n",
       "BUSINESS OWNER     1736511.73\n",
       "TEACHER            1709754.05\n",
       "Name: contb_receipt_amt, dtype: float64"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.groupby('contbr_occupation')['contb_receipt_amt'].sum().sort_values(ascending=False)[:20]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2.3 数据筛选\n",
    "\n",
    "### 赞助金额筛选\n",
    "\n",
    "赞助包括退款（负的出资额），为了简化分析过程，我们限定数据集只有正出资额"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "data = data[data['contb_receipt_amt']>0]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 候选人筛选（Obama、Romney）\n",
    "\n",
    "从下面可以卡出，赞助基本集中在Obama、Romney之间，为了更好的聚焦在两者间的竞争，我们选取这两位候选人的数据子集作进一步分析"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "cand_nm\n",
       "Obama, Barack                     1.358774e+08\n",
       "Romney, Mitt                      8.833591e+07\n",
       "Paul, Ron                         2.100962e+07\n",
       "Perry, Rick                       2.030575e+07\n",
       "Gingrich, Newt                    1.283277e+07\n",
       "Santorum, Rick                    1.104316e+07\n",
       "Cain, Herman                      7.101082e+06\n",
       "Pawlenty, Timothy                 6.004819e+06\n",
       "Huntsman, Jon                     3.330373e+06\n",
       "Bachmann, Michelle                2.711439e+06\n",
       "Johnson, Gary Earl                5.669616e+05\n",
       "Roemer, Charles E. 'Buddy' III    3.730099e+05\n",
       "McCotter, Thaddeus G              3.903000e+04\n",
       "Name: contb_receipt_amt, dtype: float64"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#查看各候选人获得的赞助总金额\n",
    "data.groupby('cand_nm')['contb_receipt_amt'].sum().sort_values(ascending=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [],
   "source": [
    "#选取候选人为Obama、Romney的子集数据\n",
    "data_vs = data[data['cand_nm'].isin(['Obama, Barack','Romney, Mitt'])].copy()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 2.4 面元化数据\n",
    "\n",
    "接下来我们对该数据做另一种非常实用的分析，利用cut函数根据出资额大小将数据离散化到多个面元中："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "411           (10, 100]\n",
       "412         (100, 1000]\n",
       "413         (100, 1000]\n",
       "414           (10, 100]\n",
       "415           (10, 100]\n",
       "416           (10, 100]\n",
       "417         (100, 1000]\n",
       "418           (10, 100]\n",
       "419         (100, 1000]\n",
       "420           (10, 100]\n",
       "421           (10, 100]\n",
       "422         (100, 1000]\n",
       "423         (100, 1000]\n",
       "424         (100, 1000]\n",
       "425         (100, 1000]\n",
       "426         (100, 1000]\n",
       "427       (1000, 10000]\n",
       "428         (100, 1000]\n",
       "429         (100, 1000]\n",
       "430           (10, 100]\n",
       "431       (1000, 10000]\n",
       "432         (100, 1000]\n",
       "433         (100, 1000]\n",
       "434         (100, 1000]\n",
       "435         (100, 1000]\n",
       "436         (100, 1000]\n",
       "437           (10, 100]\n",
       "438         (100, 1000]\n",
       "439         (100, 1000]\n",
       "440           (10, 100]\n",
       "              ...      \n",
       "701356        (10, 100]\n",
       "701357          (1, 10]\n",
       "701358        (10, 100]\n",
       "701359        (10, 100]\n",
       "701360        (10, 100]\n",
       "701361        (10, 100]\n",
       "701362      (100, 1000]\n",
       "701363        (10, 100]\n",
       "701364        (10, 100]\n",
       "701365        (10, 100]\n",
       "701366        (10, 100]\n",
       "701367        (10, 100]\n",
       "701368      (100, 1000]\n",
       "701369        (10, 100]\n",
       "701370        (10, 100]\n",
       "701371        (10, 100]\n",
       "701372        (10, 100]\n",
       "701373        (10, 100]\n",
       "701374        (10, 100]\n",
       "701375        (10, 100]\n",
       "701376    (1000, 10000]\n",
       "701377        (10, 100]\n",
       "701378        (10, 100]\n",
       "701379      (100, 1000]\n",
       "701380    (1000, 10000]\n",
       "701381        (10, 100]\n",
       "701382      (100, 1000]\n",
       "701383          (1, 10]\n",
       "701384        (10, 100]\n",
       "701385      (100, 1000]\n",
       "Name: contb_receipt_amt, Length: 694282, dtype: category\n",
       "Categories (8, interval[int64]): [(0, 1] < (1, 10] < (10, 100] < (100, 1000] < (1000, 10000] < (10000, 100000] < (100000, 1000000] < (1000000, 10000000]]"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bins = np.array([0,1,10,100,1000,10000,100000,1000000,10000000])\n",
    "labels = pd.cut(data_vs['contb_receipt_amt'],bins)\n",
    "labels"
   ]
  },
  {
   "attachments": {
    "image.png": {
     "image/png": 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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 3. 数据聚合与分组运算\n",
    "\n",
    "分组计算Grouping，分组运算是一个“split-apply-combine”的过程：\n",
    "\n",
    "> - 拆分，pandas对象中的数据会根据你所提供的一个或多个键被拆分为多组\n",
    "> - 应用，将一个函数应用到各个分组并产生一个新值\n",
    "> - 合并，所有这些函数的执行结果会合并到最终的结果对象中\n",
    "\n",
    "![image.png](attachment:image.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 3.1 透视表(pivot_table)分析党派和职业\n",
    "我们可以通过pivot_table根据党派和职业对数据进行聚合，然后过滤掉总出资不足200万美元的数据：\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>party</th>\n",
       "      <th>Democrat</th>\n",
       "      <th>Republican</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>contbr_occupation</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>ATTORNEY</th>\n",
       "      <td>14302461.84</td>\n",
       "      <td>7.868419e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CEO</th>\n",
       "      <td>2074974.79</td>\n",
       "      <td>4.211041e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CONSULTANT</th>\n",
       "      <td>2459912.71</td>\n",
       "      <td>2.544725e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ENGINEER</th>\n",
       "      <td>951525.55</td>\n",
       "      <td>1.818374e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>EXECUTIVE</th>\n",
       "      <td>1355161.05</td>\n",
       "      <td>4.138850e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>HOMEMAKER</th>\n",
       "      <td>4248875.80</td>\n",
       "      <td>1.363428e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>INVESTOR</th>\n",
       "      <td>884133.00</td>\n",
       "      <td>2.431769e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MANAGER</th>\n",
       "      <td>762883.22</td>\n",
       "      <td>1.444532e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NOT PROVIDED</th>\n",
       "      <td>13725187.32</td>\n",
       "      <td>2.097161e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>OWNER</th>\n",
       "      <td>1001567.36</td>\n",
       "      <td>2.408287e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PHYSICIAN</th>\n",
       "      <td>3735124.94</td>\n",
       "      <td>3.594320e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PRESIDENT</th>\n",
       "      <td>1878509.95</td>\n",
       "      <td>4.720924e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PROFESSOR</th>\n",
       "      <td>2165071.08</td>\n",
       "      <td>2.967027e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>REAL ESTATE</th>\n",
       "      <td>528902.09</td>\n",
       "      <td>1.625902e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RETIRED</th>\n",
       "      <td>25305116.38</td>\n",
       "      <td>2.356124e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SELF-EMPLOYED</th>\n",
       "      <td>741746.40</td>\n",
       "      <td>2.245273e+06</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "party                 Democrat    Republican\n",
       "contbr_occupation                           \n",
       "ATTORNEY           14302461.84  7.868419e+06\n",
       "CEO                 2074974.79  4.211041e+06\n",
       "CONSULTANT          2459912.71  2.544725e+06\n",
       "ENGINEER             951525.55  1.818374e+06\n",
       "EXECUTIVE           1355161.05  4.138850e+06\n",
       "HOMEMAKER           4248875.80  1.363428e+07\n",
       "INVESTOR             884133.00  2.431769e+06\n",
       "MANAGER              762883.22  1.444532e+06\n",
       "NOT PROVIDED       13725187.32  2.097161e+07\n",
       "OWNER               1001567.36  2.408287e+06\n",
       "PHYSICIAN           3735124.94  3.594320e+06\n",
       "PRESIDENT           1878509.95  4.720924e+06\n",
       "PROFESSOR           2165071.08  2.967027e+05\n",
       "REAL ESTATE          528902.09  1.625902e+06\n",
       "RETIRED            25305116.38  2.356124e+07\n",
       "SELF-EMPLOYED        741746.40  2.245273e+06"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#按照党派、职业对赞助金额进行汇总，类似excel中的透视表操作，聚合函数为sum\n",
    "by_occupation = data.pivot_table('contb_receipt_amt',index='contbr_occupation',columns='party',aggfunc='sum')\n",
    "#过滤掉赞助金额小于200W的数据\n",
    "over_2mm = by_occupation[by_occupation.sum(1)>2000000]\n",
    "over_2mm"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f356fd561d0>"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "over_2mm.plot(kind='bar')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 3.2 分组级运算和转换\n",
    "\n",
    "#### 根据职业与雇主信息分组运算\n",
    "\n",
    "我们接下来了解一下对Obama和Romney总出资最高的职业和雇主。注意，这里巧妙地利用了dict.get，它允许没有映射关系的职业也能“通过”"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "cand_nm        contbr_occupation\n",
       "Obama, Barack  RETIRED              25305116.38\n",
       "               ATTORNEY             14302461.84\n",
       "               NOT PROVIDED         13725187.32\n",
       "               HOMEMAKER             4248875.80\n",
       "               PHYSICIAN             3735124.94\n",
       "               CONSULTANT            2459912.71\n",
       "               PROFESSOR             2165071.08\n",
       "Romney, Mitt   NOT PROVIDED         11638509.84\n",
       "               RETIRED              11508473.59\n",
       "               HOMEMAKER             8147446.22\n",
       "               ATTORNEY              5372424.02\n",
       "               PRESIDENT             2491244.89\n",
       "               CEO                   2324297.03\n",
       "               EXECUTIVE             2300947.03\n",
       "Name: contb_receipt_amt, dtype: float64"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#由于职业和雇主的处理非常相似，我们定义函数get_top_amounts()对两个字段进行分析处理\n",
    "\n",
    "def get_top_amounts(group,key,n=5):\n",
    "#传入groupby分组后的对象，返回按照key字段汇总的排序前n的数据\n",
    "    totals = group.groupby(key)['contb_receipt_amt'].sum()\n",
    "    return totals.sort_values(ascending=False)[:n]\n",
    "  \n",
    "grouped = data_vs.groupby('cand_nm')\n",
    "grouped.apply(get_top_amounts,'contbr_occupation',n=7)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "从数据可以看出，Obama更受精英群体（律师、医生、咨询顾问）的欢迎，Romney则得到更多企业家或企业高管的支持"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "cand_nm        contbr_employer   \n",
       "Obama, Barack  RETIRED               22694358.85\n",
       "               SELF-EMPLOYED         18626807.16\n",
       "               NOT PROVIDED          13883494.03\n",
       "               NOT EMPLOYED           8586308.70\n",
       "               HOMEMAKER              2605408.54\n",
       "               STUDENT                 318831.45\n",
       "               VOLUNTEER               257104.00\n",
       "               MICROSOFT               215585.36\n",
       "               SIDLEY AUSTIN LLP       168254.00\n",
       "               REFUSED                 149516.07\n",
       "Romney, Mitt   NOT PROVIDED          12321731.24\n",
       "               RETIRED               11506225.71\n",
       "               HOMEMAKER              8147196.22\n",
       "               SELF-EMPLOYED          7414115.22\n",
       "               STUDENT                 496490.94\n",
       "               CREDIT SUISSE           281150.00\n",
       "               MORGAN STANLEY          267266.00\n",
       "               GOLDMAN SACH & CO.      238250.00\n",
       "               BARCLAYS CAPITAL        162750.00\n",
       "               H.I.G. CAPITAL          139500.00\n",
       "Name: contb_receipt_amt, dtype: float64"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#同样的，使用get_top_amounts()对雇主进行分析处理\n",
    "grouped.apply(get_top_amounts,'contbr_employer',n=10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Obama：微软、盛德国际律师事务所； Romney：瑞士瑞信银行、摩根斯坦利、高盛公司、巴克莱资本、H.I.G.资本\n",
    "\n",
    "#### 对赞助金额进行分组分析(matplotlib画图)\n",
    "\n",
    "前面我们已经利用pd.cut()函数，根据出资额大小将数据离散化到多个面元中，接下来我们就要对每个离散化的面元进行分组分析\n",
    "\n",
    "首先统计各出资区间的赞助笔数，这里用到unstack()，stack()函数是堆叠，unstack()函数就是不要堆叠，即把多层索引变为表格数据"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>cand_nm</th>\n",
       "      <th>Obama, Barack</th>\n",
       "      <th>Romney, Mitt</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>contb_receipt_amt</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>(0, 1]</th>\n",
       "      <td>493.0</td>\n",
       "      <td>77.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(1, 10]</th>\n",
       "      <td>40070.0</td>\n",
       "      <td>3681.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(10, 100]</th>\n",
       "      <td>372280.0</td>\n",
       "      <td>31853.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(100, 1000]</th>\n",
       "      <td>153991.0</td>\n",
       "      <td>43357.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(1000, 10000]</th>\n",
       "      <td>22284.0</td>\n",
       "      <td>26186.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(10000, 100000]</th>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(100000, 1000000]</th>\n",
       "      <td>3.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(1000000, 10000000]</th>\n",
       "      <td>4.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "cand_nm              Obama, Barack  Romney, Mitt\n",
       "contb_receipt_amt                               \n",
       "(0, 1]                       493.0          77.0\n",
       "(1, 10]                    40070.0        3681.0\n",
       "(10, 100]                 372280.0       31853.0\n",
       "(100, 1000]               153991.0       43357.0\n",
       "(1000, 10000]              22284.0       26186.0\n",
       "(10000, 100000]                2.0           1.0\n",
       "(100000, 1000000]              3.0           NaN\n",
       "(1000000, 10000000]            4.0           NaN"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#labels是之前赞助金额离散化后的Series\n",
    "grouped_bins = data_vs.groupby(['cand_nm',labels])\n",
    "grouped_bins.size().unstack(0)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "接下来，我们再统计各区间的赞助金额"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>cand_nm</th>\n",
       "      <th>Obama, Barack</th>\n",
       "      <th>Romney, Mitt</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>contb_receipt_amt</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>(0, 1]</th>\n",
       "      <td>318.24</td>\n",
       "      <td>77.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(1, 10]</th>\n",
       "      <td>337267.62</td>\n",
       "      <td>29819.66</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(10, 100]</th>\n",
       "      <td>20288981.41</td>\n",
       "      <td>1987783.76</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(100, 1000]</th>\n",
       "      <td>54798531.46</td>\n",
       "      <td>22363381.69</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(1000, 10000]</th>\n",
       "      <td>51753705.67</td>\n",
       "      <td>63942145.42</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(10000, 100000]</th>\n",
       "      <td>59100.00</td>\n",
       "      <td>12700.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(100000, 1000000]</th>\n",
       "      <td>1490683.08</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(1000000, 10000000]</th>\n",
       "      <td>7148839.76</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "cand_nm              Obama, Barack  Romney, Mitt\n",
       "contb_receipt_amt                               \n",
       "(0, 1]                      318.24         77.00\n",
       "(1, 10]                  337267.62      29819.66\n",
       "(10, 100]              20288981.41    1987783.76\n",
       "(100, 1000]            54798531.46   22363381.69\n",
       "(1000, 10000]          51753705.67   63942145.42\n",
       "(10000, 100000]           59100.00      12700.00\n",
       "(100000, 1000000]       1490683.08           NaN\n",
       "(1000000, 10000000]     7148839.76           NaN"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bucket_sums=grouped_bins['contb_receipt_amt'].sum().unstack(0)\n",
    "bucket_sums"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f356dbbeb70>"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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44gl2797Nxo0befXVVxk8ePBev89ZZ53FpEmT2LZtGwAfffQRGzZsAGD06NE8//zzzJ8/n7POOqvya+pr9Tp69Gi+//3vV/uamtq1a8fWrVszfh4HnXGLNAU57DzYGP3796dv375MnTqVr371q8ydO5e+fftiZtx999187nOfY8WKFXv1HmeeeSbLly/nxBNPBKLnQv72t7/loIMOomXLlgwbNowOHTpUPgChvlavEBXhW265pc5jRo4cyUUXXcSzzz7Lr371Ky655BK+8Y1vMHHiRKZNmxbLPLfaukrBNbkbcNTWNXbl5eUMGDCAp556iqOPPhpIdqtXtXUVyYNsf7gArGnY07Mkx5YtW8aIESMYPXp0ZdGGpt3qVYVbRILWu3dvVq9eHXeMgtLFSZFA5WOaU/IvF/9uWZ1xm9kaYCuwG9iV7TyMiORH69at2bRpE506dar1NHVJLndn06ZNDX46fU0NmSoZ5u5/36t3E5Gc6N69O2vXrmXjxo1xR5EGat26Nd27d9+r19Act0iAWrRoQY8ePeKOITHJdo7bgVlmtsDMxqU7wMzGmVmpmZXqLEBEJH+yLdxfcPcBwDnAdWZ2Ss0D3P0hdy9x95IuXbrkNKSIiOyRVeF297+l/rsBeAbY+/tXRUSkUeot3Ga2v5m1q/gzcCawNN/BREQkvWwuTnYFnkktOWoO/J+7P5/XVCIiklG9hdvdVwN9C5BFRESyoDsnRUQCo8ItIhIYFW4RkcCocIuIBEaFW0QkMCrcIiKBUeEWEQmMCreISGBUuEVEAqPCLSISGBVuEZHAqHCLiARGhVtEJDAq3CIigVHhFhEJjAq3iEhgVLhFRAKjwi0iEhgVbhGRwKhwi4gERoVbRCQwKtwiIoFR4RYRCUzWhdvMisxsoZnNzGcgERGpW0POuL8NLM9XEBERyU5WhdvMugPnAg/nN46IiNQn2zPuXwDfB8ozHWBm48ys1MxKN27cmJNwIiJSW72F28xGABvcfUFdx7n7Q+5e4u4lXbp0yVlAERGpLpsz7i8A55nZGmAqcJqZ/TavqUREJKN6C7e7/8Ddu7t7MXAJ8LK7fzXvyUREJC2t4xYRCUzzhhzs7nOAOXlJIiIiWdEZt4hIYFS4RUQCo8ItIhIYFW4RkcCocIuIBEaFW0QkMCrcIiKBUeEWEQmMCreISGBUuEVEAqPCLSISGBVuEZHAqHCLiARGhVtEJDAq3CIigVHhFhEJjAq3iEhgVLhFRAKjwi0iEhgVbhGRwKhwi4gERoVbRCQwKtwiIoGpt3CbWWszm2dmi8zsHTO7vRDBREQkveZZHPMZcJq7bzOzFsDrZvZHd38rz9lERCSNegu3uzuwLfVpi9SH5zOUiIhkltUct5kVmVkZsAF4wd3/nN9YIiKSSVaF2913u3s/oDsw2MyOq3mMmY0zs1IzK924cWOuc4qISEqDVpW4+z+BOcDZafY95O4l7l7SpUuXHMUTEZGasllV0sXMOqT+vB8wHFiR72AiIpJeNqtKugGPmFkRUaF/0t1n5jeWiIhkks2qksVA/wJkERGRLOjOSRGRwKhwi4gERoVbRCQwKtwiIoFR4RYRCYwKt4hIYFS4RUQCo8ItIhIYFW4RkcCocIuIBEaFW0QkMCrcIiKBUeEWEQmMCreISGBUuEVEAqPCLSISGBVuEZHAqHCLiARGhVtEJDDZPCxYJB4T2jfg2C35yyGSMDrjFhEJjAq3iEhgVLhFRAKjwi0iEph6C7eZHWpms81suZm9Y2bfLkQwERFJL5tVJbuA77r722bWDlhgZi+4+7I8ZxMRkTTqLdzuvg5Yl/rzVjNbDhwCqHAnTPH432d13Jo7z81zEhHJpwbNcZtZMdAf+HOafePMrNTMSjdu3JibdCIiUkvWhdvM2gK/A77j7p/U3O/uD7l7ibuXdOnSJZcZRUSkiqwKt5m1ICraj7n70/mNJCIidclmVYkB/wMsd/ef5z+SiIjUJZsz7i8AlwOnmVlZ6uNLec4lIiIZZLOq5HXACpBFRESyoDsnRUQCo8ItIhIYFW4RkcCocIuIBEaFW0QkMCrcIiKBUeEWEQmMCreISGBUuEVEAqPCLSISGBVuEZHAqHCLiARGhVtEJDAq3CIigVHhFhEJjAq3iEhgVLhFRAKjwi0iEhgVbhGRwKhwi4gERoVbRCQwKtwiIoFR4RYRCUy9hdvMJpnZBjNbWohAIiJSt2zOuCcDZ+c5h4iIZKnewu3urwKbC5BFRESyoDluEZHA5Kxwm9k4Mys1s9KNGzfm6mVFRKSGnBVud3/I3UvcvaRLly65elkREalBUyUiIoHJZjng48BcoJeZrTWzq/IfS0REMmle3wHufmkhgoiISHY0VSIiEhgVbhGRwKhwi4gERoVbRCQw9V6cFBHZVxSP/31Wx62589w8J6mbzrhFRAKjwi0iEhgVbhGRwKhwi4gERoVbRCQwKtwiIoFR4RYRCYwKt4hIYFS4RUQCo8ItIhIYFW4RkcCocIuIBEaFW0QkMCrcIiKBUeEWEQmM+nHviya0b8CxW/KXQ0QaRWfcIiKB0Rm3iORdtk+WgfifLhMCnXGLiAQmq8JtZmeb2btm9p6Zjc93KBERyazewm1mRcD9wDlAb+BSM+ud72AiIpJeNnPcg4H33H01gJlNBc4HluUzWJKE8uRnEdk3mLvXfYDZRcDZ7n516vPLgRPc/foax40DxqU+7QW8m+OsnYG/5/g1cy2EjKCcuaacuRVCznxkPNzdu2RzYDZn3JZmW61q7+4PAQ9l86aNYWal7l6Sr9fPhRAygnLmmnLmVgg5486YzcXJtcChVT7vDvwtP3FERKQ+2RTu+cDRZtbDzFoClwDP5TeWiIhkUu9UibvvMrPrgT8BRcAkd38n78lqy9s0TA6FkBGUM9eUM7dCyBlrxnovToqISLLozkkRkcCocIuIBEaFW0QkMInrDmhmi7M4bKO7n573MHUwswFZHLbT3ZfkPUwdzCybFUCb3X1svrPUReOZWxrP3EniWCaucBOtXPlSHfuNZCxHfIVoqWS6G5Qq9ACKC5Ims2OAq+vYb0S9aOKm8cwtjWfuJG4sk1i4r3H3D+o6wMyuLVSYOsx399PqOsDMXi5UmDrc6u6v1HWAmd1eqDB10HjmlsYzdxI3lloOKCISmCSecWdkZn9093PizlHBzNoDZwOHEPVv+RvwJ3f/Z6zBqkhl/AEwCqhoYLMBeBa4M4FZNZ45ovHMnaSNZeJWlZjZgAwfA4F+ceerYGZfA94GhgJtgP2BYcCC1L6keBL4BzDU3Tu5eyeinP8Anoo1WRUaz9zSeOZOEscycVMlZrab6GJAugsBQ9x9vwJHSsvM3iVqb/vPGtsPBP7s7j3jSVadmb3r7r0auq/QNJ65pfHMnSSOZRKnSpYTXaBcVXOHmX0YQ55MjDTtbYFy6r76XGgfmNn3gUfcfT2AmXUFxgIaz4bTeOZWCOOZuLFMYuGeQOYpnBsKmKM+dwBvm9ks9nyDHQacAfwktlS1jQHGA6+k/ocA+JhoSeXFsaWqTeOZWxrP3EncWCZuqiQkqV+VziK6YGFEvcv/5O7/iDVYoDSeuaXxzJ2kjaUK9z7AzM4iumpf9Yr4s+7+fKzB0kiddVXmrPj1OUk0nrkVyngmaSxVuPPAzJa4e5+4cwCY2S+AnsCjRGcJED3F6GvAKnf/dlzZqjKzfsCDQHuinEaU85/Ate7+dozxKmk8cyuE8UziWKpwN5KZXZBpF/Bgtg/9zDczW5nuqreZGbDS3Y+OIVYtZlZGdFH6zzW2DwF+4+5940lWncYzt0IYzySOZRIvTqZlZiXAOnf/KO4sKU8Aj5H+anPrAmepyw4zG+zu82psHwTsiCNQBvvX/B8DwN3fMrP94wiUgcYzt0IYz8SNZTCFm2hFyfGpn9Bj4g4DLAbudfelNXeY2fAY8mQyFvhvM2vHnl9FDwU+Se1Lij+a2e+JfmWuuHJ/KNGvzEma6xyLxjOXxpL88UzcWAY3VWJm7dx9awJynAx84O5/TbOvxN1LY4iVkZl9jipXxN3945gj1WJm5wDnU/3K/XPu/odYg6Wh8cytpI9n0sYykYU7aX0Bmioz+7y7r4g7R2j0/ZlbGs+GS2KvksT1BWjCZsUdoIKZtTezO81suZltSn0sT23rEHe+CqF8f2o8cyeJY5m4M+4k9gUImZlNzLQLuMLdDyhknkzM7E/Ay0S3Pn+c2vY5onnO0939jBjjVQrl+1PjmTtJHMskFu6VwCB331Jje3ugNAnLg0JiZluB7wKfpdn9M3fvXOBIaVkAzYYgnO9PjWfuJHEsk7iqJHF9ARrCzM4HPk63fCgm84Gl7v5mzR1mNqHwcTL6wJLfbAjC+f7UeOZO4sYycWfckLy+AA1hZj8F+gDNPQEPfTCzjsAOd98ed5a6pP7NxxNduT8otXk9UbOhu9x9c1zZagrh+7PGeNZs3qTxbIAkjmXiCreZmdcTKptjRPLJEtS3oinQeDZMEgv3HOB3RE1m/lple0vgi8AVwGx3nxxLwCyY2Rnu/kLcOZoKM/u6u/9v3DkgmX0rMrEAmjeFMp5JG8skFu7WwJXAZUAPon/A/YiWLs4C7nf3svgS1s/M/uruh8Wdo6lI0ngmsW9FOhZA8yYIYzyTOJaJK9xVmVkLoDPwadIW45vZc5l2Aae5e5L6QSSemS3OtAvo6e6tCpknEzNblWmlg5m95+5HFTpTOhZA8yYIYzyTOJZJXFVSyd13AuvizpHBycBXgW01thswuPBxGiZ1EXUL8LC7b4o7D9FFn7OIHhJblQG1VsTEKHF9KzIIoXkThDGeiRvLRBfuhHsL2O7ur9TckbqpIOnmAUcC9xH9TxK3mUDbdNNgqeseieDuN2boW3F/wnqAjCX5zZtCGc+xJGwsEz1VIiJ7xxLevCkkSRrLxPUqCUVqfmuvj8k3M2tuZteY2fNmttjMFpnZH83sm6lrCJIjZvZQ3BmqSt19eGrq42Tg1CT1KYFk9gFJJ2ljqcLdeLPN7AYzq7bawcxamtlpZvYI0dLFuE0B+gETgC8B5wK3A32B38YXK0xm1jHDRyei8U0EC6B5U8qTRNc1hrl7J3fvRJTzn8BTsSZLSeJYaqqkkTIsW2wNFJGgZYv19FlIe7VcMjOz3cAHRL8uV/DU54e4e8tYgtVgATRvgmT2AUmXg4SNpS5ONpK77wAeAB5I8rJF4B9m9mXgd+5eDmBmzYAvU3sFh9RvNVFHuHQP0EhSDxAj/WP1yqn+QyduiesDkkbixlKFOwcSvmzxEuAuoh8wFYW6AzA7tS/RzOxFYCfRbzAz484D/AI4EKhVuIG7C5ylLiE0bwIYQ9QH5JVUwYY9fUAuji1VdYkbS02V7ENS87Dm7n+PO0u2zOxgoBswxN3vjztPSJLevCkkSRtLFe59WFJ7qqQ6GroKzL4haX1AMklSIywV7n1YwnqAHEY01XA60YVeAw4gevLIeHdfE1+6psXMlrh7n7hzQDL7gNSUxEZYKtxNXCg9VcxsLtH88TR3353aVkR0EfU77j4kznyhMbMLMu0CHnT3LoXMk0kS+4CkyZK4Rli6ONn0hdJTpbO7P1F1Q6qATzWzJF1MS8vMugGb3T3dI+Li8ATwGOlXQ7QucJa6JK4PSBr7p3uilbu/ZWaxnPiocDd9ofRUWWBmDwCPUL3Z0BXAwthSZW8KcKSZ/c7dvxd3GGAxcK+7L625w8yGx5Ank7EkrA9IGolrhKWpEkkEix6UcRW1mw09B/xPgs5kM0r9et/b3d9JQJaTgQ8yrDcvcffSGGJllKQ+IOlkaIT1XFyNsFS4mzgzPQou11IFejDVV0HM0xjmlpl93t1XxJ0jiVS4mzgL5FFwZtac6Iy71rIwojPunTHGq2RmZxLdMbsK+Ci1uTtwFNEKg1lxZWtqkrLqKdVg6gdUf5D1BqLvzTvjuFtahbuJC6inyuNE2R6h+rKwK4CO7j4mrmxVmdly4JyayxPNrAfwB3c/JpZggTKziZl2AVe4+wGFzJM2iNmfiJalPlIxhZOa2hlL1P7gjIJnUuHedyS5p0oozbDMbBVwjLvvqrG9JbAsCY/aComZbQW+C6S7hvHr+avNAAAKM0lEQVQzd+9c4Ei1JLERllaV7EMS3lMllGZYk4D5ZjaV6isMLgH+J7ZUWTKz84GP0y1vi8l8YKm713o8nZlNKHyctBLXCEtn3JIIZlZM1AzrNPYU6opmWOPd/f14ktVmZr2B86i9wmBZrMGyYNGzRvsAzd39nATk6QjscPftcWfJJNWnZDzV57jXE614usvdNxc8kwq3JE0ozbDUU0XiosItiZekZlhVeqqcBmxJbW5PAnuqmNnn2bP2uGKVznPuvjzWYE2ImX3d3f+30O+rR5dJCJI0d/wE8AzQzd2PTvXS6AZMB6bGmqwKM7uFKI8B84jmkg143MzGx5mtibk9jjfVGbckQkDNsFZlanxU175CM7OVwLE117+nVr+8k5ScITCzxZl2AT3dvVUh84BWlUhyhNIMK5SeKuXAwUTPx6yqW2pfoqUuom4BHnb3TTHH6Ur0EIWa1zIMqLUaphBUuCUpQmmG9TWiOzxvJ01PlRhz1fQd4KXUuvOqj9s6Crg+tlTZmwccCdxHNOZxmgm0TXejWurO5ILTVIlIE5VaB1/RU6XiB8z8in7nEi6dcUsihNIMK5SeKile5aO8yn8To8p4jiaa2knyeCaGzrglEQJqhhVKT5UgmmGFMp5Jo8ItiRBQM6xQeqoE0QwrlPFMGk2VSCK4+w6iM8QHktwMi3B6qjRnzxlsVR8BLQqcpS6hjGeiqHBL4iS8GdYlRD1VHjCzmj1VLoktVW2hNMOqOZ5GNJ4vk6zxrMXMXgR2Ev02OLOg762pEpHGSXpPldCaYSV9PGsys4OJ1sUPcff7C/reKtwiuZGknipVJb0ZVoaeKs8m8bFlSRlL9SoRyZ3ETEGY2WFmNtXMNgB/BuaZ2YbUtuJ40+1RR0+VqUnpqVJlLDcSjeX8uMdSZ9wiDRBQT5W5wC+AaRU33JhZEdFFv++4+5A481UIoadKEsdShVukAVIX0DL1VHnC3bsWPlVtATXDWgGc5e4f1Nh+ODArjseC1ZTEsdSqEpGGCaWnSijNsELoqZK4sdQZt0gTlJpquIo9F/2qNcNy93QP541F0nuqJHEsVbhFGiCUniohMbOK1r1VV5XM0xhmpqkSkYaZbWb19lQBJscTrzJPEM2w6uqpYmaJ6KmSxLHUGbdIAwTUUyWI5k0h9FRJ4liqcIs0UpJ7qoTSvCl1UfIYd99VY3tLYJm7HxVPsmpZEjeWmioRaaSE91QJpXlTCD1VEjeWOuMWaYJSd/TdBZzGnuJS0QxrvLu/H0+y2pLeUyXNWFZthBXLWKpwizRxoTRvSkofkLokZSxVuEX2MUlqhmVmhwF3E53Nbkltbs+es9k1MUWrJmmNsNRkSmTfk5S5Y4AngGeAbu5+dOr28W7AdKLmU7FLYiMsnXGLNEEBNcNKXB+QNDkS1whLq0pEmqaTydwMa3Dh42SUuD4gaZQTPYH+gxrbu6X2FZwKt0jTFEozrK8R3ZV4O2n6gMSYq6rENcLSVImISD2S1ghLZ9wiTVAozbCS2AckA6/yUV7lv7HQGbdIE2Rmc4B6m2G5++RYAu7Jk7g+IDXV1QgLiKURlgq3SBMUUDOsxPUBSZMjcY2wNFUi0gS5+w6is8QHktwMiwT2AUmjOXt+G6jqI6BFgbMAKtwiTV7Cm2FdQtQH5IHU8zxhT0+VS2JLVV3iGmFpqkREEiEpfUDSSVojLBVuEUmkJPVUqZCURljqVSIiSZWIG3DM7DAzm2pmG4A/A/PMbENqW3EcmTTHLSKxqaenSqdCZqnDE8AvgMsqbrgxsyKiC6hTgSGFDqSpEhGJTeqCZKaeKk+4e9fCp6oRJIGNsHTGLSJxCqGnSuIaYemMW0SkDqm7Ta9iz4MUqjXCcvfPCp5JhVtE4hJKT5Wk0aoSEYnTbDO7IfUIs0pm1tLMTjOzR4imJGJjZs3N7Boz+6OZLTazRak/fzN1V2rhM+kHmYjEJYSeKklshKXCLSKJkNSeKklshKWpEhFJBHff6e7rklS0U/5hZl9ONb8CokZYZjaGmBphqXCLiNTtEuAiYL2ZrUw9PPhj4AJiaoSlqRIRkSwlpRGWzrhFRLLk7puqFm0zOyOOHDrjFhFpJDP7q7sfVv+RuaVb3kVE6pDERlgq3CIidTuZzI2wBhc+jgq3iEh9EtcIS3PcIiKB0aoSEZE6mJnl4phcUuEWEalb4hphaapERKQOSWyEpcItIpKlpDTCUuEWEQmM5rhFRAKjwi0iEhgVbhGRwKhwS2zMrNjMvlLl87Fm9uuYMx1sZtPqOaaDmV2b5xxDzeykfL6HhEuFW+JUDHylvoPqY5GcfC+7+9/c/aJ6DusA5LVwA0MBFW5JS4VbGs3MvlblqddTzOxwM3spte2lihsWzGyymU00szfNbLWZVRTGO4GTzazMzG5KbTvUzJ43s3fN7Ed1vHexmS03sweAt1Nfd6aZzTWzt83sKTNrmzp2UOq9F5nZPDNrZ2ZFZnaPmc1P5b2myusuTf15rJk9mybPncCRqdz3ZMjXNjUGb5vZEjM7v8rrrzCzh81sqZk9ZmbDzewNM1tlZoPNrBj4JnBT6j1ObvQ/kjRN7q4PfTT4AzgWeBfonPq8IzADuCL1+ZXA9NSfJwNPEZ0o9AbeS20fCsys8ppjgXVErTL3A5YCJRnevxgoB4akPu8MvArsn/r8FuA2oCWwGhiU2n4AUXO1ccAPU9taAaVEN1cUA0vrylP1mDrGpzlwQJVs7xF1kysGdgF9UuOxAJiU2nd+lTGbAHwv7n9nfSTzQ90BpbFOA6Z56mkg7r7ZzE4keg4fwBTg7irHT3f3cmCZmXWt43VfcPdNAGb2NPBFoqKazgfu/lbqz0OIfii8kWob0RKYC/QC1rn7/FTOT1KvfSZwfJWz//bA0cDKLPJMryN/BQN+amanEP2AOQSo+Hu/7+5LUq/5DvCSu7uZLSEq7CJ1UuGWxjKgvru3qu7/rMbXZvM16T6v6l81XvMFd7+06gFmdnyG1zDgBnf/U43ji/ciT1WXAV2Age6+08zWEN0mDdXHorzK5+Xo/0nJgua4pbFeAi5OPTwVM+sIvMmep15fBrxez2tsBdrV2HaGmXU0s/2AUcAbWeZ5C/iCmR2VytPGzHoCK4CDzWxQans7M2sO/An4VuoWZsysp5ntn+Z10+VJl7um9sCGVNEeBhye5d+jQjbvIfso/XSXRnH3d8zsDuAVM9sNLARuBCaZ2c3ARuDr9bzMYmCXmS0imgf/B1GxnwIcBfyfu2eaJqmZZ6OZjQUeN7NWqc0/dPeVZjYG+FWq+H4KDAceJpqWeDvVknMjUWGuKW2e1MXEpcAf3f3mNF/3GDDDzEqBMqIfIA0xA5iWuqh5g7u/1sCvlyZMvUpEMkj9IChx9+vjziJSlaZKREQCozNuSbTUHPpLaXadXrHaI05m1odoKqWqz9z9hDjyyL5BhVtEJDCaKhERCYwKt4hIYFS4RUQCo8ItIhKY/wcf6PXzfy3SAwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Obama、Romney各区间赞助总金额\n",
    "bucket_sums.plot(kind='bar')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "上图虽然能够大概看出Obama、Romney的赞助金额区间分布，但对比并不够突出，如果用百分比堆积图效果会更好，下面我们就实现以下。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>cand_nm</th>\n",
       "      <th>Obama, Barack</th>\n",
       "      <th>Romney, Mitt</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>contb_receipt_amt</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>(0, 1]</th>\n",
       "      <td>0.805182</td>\n",
       "      <td>0.194818</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(1, 10]</th>\n",
       "      <td>0.918767</td>\n",
       "      <td>0.081233</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(10, 100]</th>\n",
       "      <td>0.910769</td>\n",
       "      <td>0.089231</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(100, 1000]</th>\n",
       "      <td>0.710176</td>\n",
       "      <td>0.289824</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(1000, 10000]</th>\n",
       "      <td>0.447326</td>\n",
       "      <td>0.552674</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(10000, 100000]</th>\n",
       "      <td>0.823120</td>\n",
       "      <td>0.176880</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(100000, 1000000]</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>(1000000, 10000000]</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "cand_nm              Obama, Barack  Romney, Mitt\n",
       "contb_receipt_amt                               \n",
       "(0, 1]                    0.805182      0.194818\n",
       "(1, 10]                   0.918767      0.081233\n",
       "(10, 100]                 0.910769      0.089231\n",
       "(100, 1000]               0.710176      0.289824\n",
       "(1000, 10000]             0.447326      0.552674\n",
       "(10000, 100000]           0.823120      0.176880\n",
       "(100000, 1000000]         1.000000           NaN\n",
       "(1000000, 10000000]       1.000000           NaN"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#算出每个区间两位候选人收到赞助总金额的占比\n",
    "normed_sums = bucket_sums.div(bucket_sums.sum(axis=1),axis=0)\n",
    "normed_sums"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f356db00160>"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#使用柱状图，指定stacked=True进行堆叠，即可完成百分比堆积图\n",
    "normed_sums[:-2].plot(kind='bar',stacked=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "可以看出，小额赞助方面，Obama获得的数量和金额比Romney多得多\n",
    "\n",
    "按照赞助人姓名分组计数，计算重复赞助次数最多的前20人"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "contbr_nm\n",
       "WILLIAMS, DEBBY          205\n",
       "BERKE, DAVID MICHAEL     171\n",
       "SEBAG, DAVID             161\n",
       "SMITH, ERIK              145\n",
       "FALLSGRAFF, TOBY         138\n",
       "SKINNER, DONNA           136\n",
       "CASPERSON, CAROLINA      132\n",
       "HARRIS, CLAUDIA W.       132\n",
       "ROSBERG, MARILYN         115\n",
       "POTTS, LILLIE            114\n",
       "DUDLEY, DEBBIE           111\n",
       "HAUGHEY, NOEL ANTHONY    107\n",
       "DFHDFH, DFHDFH            96\n",
       "SHERWIN, GLEN R.          94\n",
       "MITCHELL, CAITLIN         90\n",
       "SMITH, CHARLES            88\n",
       "KARIMIAN, AFSANEH         87\n",
       "NURU, ISAAC               87\n",
       "MASTERS, MARGERY          85\n",
       "BIRMINGHAM, TOM           85\n",
       "Name: contbr_nm, dtype: int64"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.groupby('contbr_nm')['contbr_nm'].count().sort_values(ascending=False)[:20]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 4.时间处理\n",
    "\n",
    "### 4.1 str转datetime\n",
    "\n",
    "我们可以使用to_datetime方法解析多种不同的日期表示形式。对标准日期格式（如ISO8601）的解析非常快。我们也可以指定特定的日期解析格式，如pd.to_datetime(series,format='%Y%m%d')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [],
   "source": [
    "data_vs['time'] = pd.to_datetime(data_vs['contb_receipt_dt'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 4.2 以时间作为索引"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>cmte_id</th>\n",
       "      <th>cand_id</th>\n",
       "      <th>cand_nm</th>\n",
       "      <th>contbr_nm</th>\n",
       "      <th>contbr_city</th>\n",
       "      <th>contbr_st</th>\n",
       "      <th>contbr_zip</th>\n",
       "      <th>contbr_employer</th>\n",
       "      <th>contbr_occupation</th>\n",
       "      <th>contb_receipt_amt</th>\n",
       "      <th>contb_receipt_dt</th>\n",
       "      <th>receipt_desc</th>\n",
       "      <th>memo_cd</th>\n",
       "      <th>memo_text</th>\n",
       "      <th>form_tp</th>\n",
       "      <th>file_num</th>\n",
       "      <th>party</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>time</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2012-02-01</th>\n",
       "      <td>C00431171</td>\n",
       "      <td>P80003353</td>\n",
       "      <td>Romney, Mitt</td>\n",
       "      <td>ELDERBAUM, WILLIAM</td>\n",
       "      <td>DPO</td>\n",
       "      <td>AA</td>\n",
       "      <td>3.4023e+08</td>\n",
       "      <td>US GOVERNMENT</td>\n",
       "      <td>FOREIGN SERVICE OFFICER</td>\n",
       "      <td>25.0</td>\n",
       "      <td>01-FEB-12</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>SA17A</td>\n",
       "      <td>780124</td>\n",
       "      <td>Republican</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2012-02-01</th>\n",
       "      <td>C00431171</td>\n",
       "      <td>P80003353</td>\n",
       "      <td>Romney, Mitt</td>\n",
       "      <td>ELDERBAUM, WILLIAM</td>\n",
       "      <td>DPO</td>\n",
       "      <td>AA</td>\n",
       "      <td>3.4023e+08</td>\n",
       "      <td>US GOVERNMENT</td>\n",
       "      <td>FOREIGN SERVICE OFFICER</td>\n",
       "      <td>110.0</td>\n",
       "      <td>01-FEB-12</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>SA17A</td>\n",
       "      <td>780124</td>\n",
       "      <td>Republican</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2012-04-13</th>\n",
       "      <td>C00431171</td>\n",
       "      <td>P80003353</td>\n",
       "      <td>Romney, Mitt</td>\n",
       "      <td>CARLSEN, RICHARD</td>\n",
       "      <td>APO</td>\n",
       "      <td>AE</td>\n",
       "      <td>9.128e+07</td>\n",
       "      <td>DEFENSE INTELLIGENCE AGENCY</td>\n",
       "      <td>INTELLIGENCE ANALYST</td>\n",
       "      <td>250.0</td>\n",
       "      <td>13-APR-12</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>SA17A</td>\n",
       "      <td>785689</td>\n",
       "      <td>Republican</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-08-21</th>\n",
       "      <td>C00431171</td>\n",
       "      <td>P80003353</td>\n",
       "      <td>Romney, Mitt</td>\n",
       "      <td>DELUCA, PIERRE</td>\n",
       "      <td>APO</td>\n",
       "      <td>AE</td>\n",
       "      <td>9.128e+07</td>\n",
       "      <td>CISCO</td>\n",
       "      <td>ENGINEER</td>\n",
       "      <td>30.0</td>\n",
       "      <td>21-AUG-11</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>SA17A</td>\n",
       "      <td>760261</td>\n",
       "      <td>Republican</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2012-03-07</th>\n",
       "      <td>C00431171</td>\n",
       "      <td>P80003353</td>\n",
       "      <td>Romney, Mitt</td>\n",
       "      <td>SARGENT, MICHAEL</td>\n",
       "      <td>APO</td>\n",
       "      <td>AE</td>\n",
       "      <td>9.01201e+07</td>\n",
       "      <td>RAYTHEON TECHNICAL SERVICES CORP</td>\n",
       "      <td>COMPUTER SYSTEMS ENGINEER</td>\n",
       "      <td>100.0</td>\n",
       "      <td>07-MAR-12</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>SA17A</td>\n",
       "      <td>780128</td>\n",
       "      <td>Republican</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              cmte_id    cand_id       cand_nm           contbr_nm  \\\n",
       "time                                                                 \n",
       "2012-02-01  C00431171  P80003353  Romney, Mitt  ELDERBAUM, WILLIAM   \n",
       "2012-02-01  C00431171  P80003353  Romney, Mitt  ELDERBAUM, WILLIAM   \n",
       "2012-04-13  C00431171  P80003353  Romney, Mitt    CARLSEN, RICHARD   \n",
       "2011-08-21  C00431171  P80003353  Romney, Mitt      DELUCA, PIERRE   \n",
       "2012-03-07  C00431171  P80003353  Romney, Mitt    SARGENT, MICHAEL   \n",
       "\n",
       "           contbr_city contbr_st   contbr_zip  \\\n",
       "time                                            \n",
       "2012-02-01         DPO        AA   3.4023e+08   \n",
       "2012-02-01         DPO        AA   3.4023e+08   \n",
       "2012-04-13         APO        AE    9.128e+07   \n",
       "2011-08-21         APO        AE    9.128e+07   \n",
       "2012-03-07         APO        AE  9.01201e+07   \n",
       "\n",
       "                             contbr_employer          contbr_occupation  \\\n",
       "time                                                                      \n",
       "2012-02-01                     US GOVERNMENT    FOREIGN SERVICE OFFICER   \n",
       "2012-02-01                     US GOVERNMENT    FOREIGN SERVICE OFFICER   \n",
       "2012-04-13       DEFENSE INTELLIGENCE AGENCY       INTELLIGENCE ANALYST   \n",
       "2011-08-21                             CISCO                   ENGINEER   \n",
       "2012-03-07  RAYTHEON TECHNICAL SERVICES CORP  COMPUTER SYSTEMS ENGINEER   \n",
       "\n",
       "            contb_receipt_amt contb_receipt_dt receipt_desc memo_cd memo_text  \\\n",
       "time                                                                            \n",
       "2012-02-01               25.0        01-FEB-12          NaN     NaN       NaN   \n",
       "2012-02-01              110.0        01-FEB-12          NaN     NaN       NaN   \n",
       "2012-04-13              250.0        13-APR-12          NaN     NaN       NaN   \n",
       "2011-08-21               30.0        21-AUG-11          NaN     NaN       NaN   \n",
       "2012-03-07              100.0        07-MAR-12          NaN     NaN       NaN   \n",
       "\n",
       "           form_tp  file_num       party  \n",
       "time                                      \n",
       "2012-02-01   SA17A    780124  Republican  \n",
       "2012-02-01   SA17A    780124  Republican  \n",
       "2012-04-13   SA17A    785689  Republican  \n",
       "2011-08-21   SA17A    760261  Republican  \n",
       "2012-03-07   SA17A    780128  Republican  "
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_vs.set_index('time',inplace=True)\n",
    "data_vs.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 4.3重采样和频度转换\n",
    "\n",
    "重采样（Resampling）指的是把时间序列的频度变为另一个频度的过程。把高频度的数据变为低频度叫做降采样（downsampling），resample会对数据进行分组，然后再调用聚合函数。这里我们把频率从每日转换为每月，属于高频转低频的降采样。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>cand_nm</th>\n",
       "      <th>Obama, Barack</th>\n",
       "      <th>Romney, Mitt</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>time</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2011-04-30</th>\n",
       "      <td>13830</td>\n",
       "      <td>1096</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-05-31</th>\n",
       "      <td>12182</td>\n",
       "      <td>4163</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-06-30</th>\n",
       "      <td>25626</td>\n",
       "      <td>5757</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-07-31</th>\n",
       "      <td>12372</td>\n",
       "      <td>2454</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-08-31</th>\n",
       "      <td>19860</td>\n",
       "      <td>3226</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-09-30</th>\n",
       "      <td>46926</td>\n",
       "      <td>7968</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-10-31</th>\n",
       "      <td>25941</td>\n",
       "      <td>5349</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-11-30</th>\n",
       "      <td>32629</td>\n",
       "      <td>7737</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-12-31</th>\n",
       "      <td>63562</td>\n",
       "      <td>10289</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2012-01-31</th>\n",
       "      <td>40055</td>\n",
       "      <td>9431</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2012-02-29</th>\n",
       "      <td>66416</td>\n",
       "      <td>13396</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2012-03-31</th>\n",
       "      <td>123564</td>\n",
       "      <td>17807</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2012-04-30</th>\n",
       "      <td>106164</td>\n",
       "      <td>16482</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "cand_nm     Obama, Barack  Romney, Mitt\n",
       "time                                   \n",
       "2011-04-30          13830          1096\n",
       "2011-05-31          12182          4163\n",
       "2011-06-30          25626          5757\n",
       "2011-07-31          12372          2454\n",
       "2011-08-31          19860          3226\n",
       "2011-09-30          46926          7968\n",
       "2011-10-31          25941          5349\n",
       "2011-11-30          32629          7737\n",
       "2011-12-31          63562         10289\n",
       "2012-01-31          40055          9431\n",
       "2012-02-29          66416         13396\n",
       "2012-03-31         123564         17807\n",
       "2012-04-30         106164         16482"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "vs_time = data_vs.groupby('cand_nm').resample('M')['cand_nm'].count()\n",
    "vs_time.unstack(0)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "我们用面积图把11年4月-12年4月两位总统候选人接受的赞助笔数做个对比可以看出，越临近竞选，大家赞助的热情越高涨，奥巴马在各个时段都占据绝对的优势"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 2304x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig1, ax1=plt.subplots(figsize=(32,8))\n",
    "vs_time.unstack(0).plot(kind='area',ax=ax1,alpha=0.6)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.0"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
